{"id":"W6985976592","doi":"","title":"Rodgers, Richard","year":2000,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Work (physics); Context (archaeology); Perspective (graphical); Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001630721,0.0001359068,0.0001590558,0.00005592698,0.0001909672,0.00001866964,0.0003499261,0.000151037,0.001324297],"category_scores_gemma":[0.00003734959,0.0001673714,0.0001399922,0.0001239279,0.0001843072,0.00001415796,0.00009971435,0.0001293261,0.000283614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000204717,"about_ca_system_score_gemma":0.00004431151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009501856,"about_ca_topic_score_gemma":0.00008825298,"domain_scores_codex":[0.9992113,0.00004925635,0.0001232797,0.0002115259,0.0001740693,0.0002305631],"domain_scores_gemma":[0.9993379,0.00001194624,0.0001007426,0.0003862438,0.0000688834,0.00009431416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003107668,0.00149108,0.2328968,0.001199134,0.002868014,0.0001431077,0.01830406,0.0177646,0.0141721,0.3816568,0.3081222,0.01827451],"study_design_scores_gemma":[0.002659347,0.0007448972,0.01597809,0.00003502442,0.0001550307,0.00007263612,0.002855066,0.001864561,0.0001297474,0.6739799,0.3005233,0.001002339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614038,0.0001655119,0.004394121,0.0001480426,0.00007381585,0.00009557795,0.00002416383,0.00003289569,0.03366208],"genre_scores_gemma":[0.9810568,0.0001230046,0.003475563,0.0001461069,0.00008664194,1.629253e-7,0.0001384644,0.00001430967,0.01495892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2923231,"threshold_uncertainty_score":0.9995886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005448994054033166,"score_gpt":0.2068485269487174,"score_spread":0.2013995328946842,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}